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metadata
base_model: qingy2024/GRMR-V3-L3B
base_model_relation: quantized
quantized_by: ArtusDev
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - llama
  - trl
  - sft
  - exl3
license: apache-2.0
language:
  - en

EXL3 Quants of qingy2024/GRMR-V3-L3B

EXL3 quants of qingy2024/GRMR-V3-L3B using exllamav3 for quantization.

Quants

Quant(Revision) Bits per Weight Head Bits
3.0_H6 3.0 6
3.5_H6 3.5 6
4.0_H6 4.0 6
4.5_H6 4.5 6
5.0_H6 5.0 6
6.0_H6 6.0 6
8.0_H6 8.0 6
8.0_H8 8.0 8

Downloading quants with huggingface-cli

Click to view download instructions

Install hugginface-cli:

pip install -U "huggingface_hub[cli]"

Download quant by targeting the specific quant revision (branch):

huggingface-cli download ArtusDev/qingy2024_GRMR-V3-L3B-EXL3 --revision "5bpw_H6" --local-dir ./